This year’s ROSCon conference heads to Singapore, bringing together the global robotics developer community behind Robot Operating System (ROS) — the world’s most widely adopted open framework for building robots.
At the conference, running through Wednesday, Oct. 29, NVIDIA announced collaborations with partners and the Open Source Robotics Alliance (OSRA), as well as new robotics software to advance open standards and accelerate robotics development.
NVIDIA is supporting OSRA’s new Physical AI Special Interest Group — focused on real-time robot control, accelerated AI processing and better robotics tools for autonomous behavior.
It’s all part of efforts to make ROS 2 the open, high-performance framework of choice for real-world robotic applications.
NVIDIA is contributing GPU-aware abstractions directly to ROS 2, enabling it to understand and efficiently manage different types of processors, from CPUs to integrated and discrete GPUs. This ensures consistent, high-speed performance and future-proofs the entire ROS ecosystem, allowing ROS to keep pace with rapid hardware innovation.
To help developers optimize robot performance and reliability, NVIDIA is also open-sourcing Greenwave Monitor, a tool that enables developers to quickly identify performance bottlenecks, accelerating robot development.
In addition, NVIDIA announced that NVIDIA Isaac ROS 4.0 — a new collection of ROS-compatible, GPU-accelerated libraries and AI models — is now available on the NVIDIA Jetson Thor platform for deploying physical AI and robotics. Developers can access and run Isaac CUDA-accelerated libraries, AI models and workflows for robot manipulation and mobility.
Industry Leaders Tap NVIDIA AI, Accelerated Computing and Open-Source Technologies
NVIDIA’s open-source contributions are already empowering developers and partners across the globe to train, simulate and deploy the next generation of robots.
AgileX Robotics is using NVIDIA Jetson modules to power AI autonomy and vision in its mobile robots, as well as tapping NVIDIA Isaac Sim, an open-source, reference robotic simulation framework built on NVIDIA Omniverse, for simulation.
Canonical is simplifying robot development and offering a demo of a fully open observability stack for ROS 2 devices on Ubuntu, now available for the NVIDIA Jetson AGX Thor platform for robotics and edge computing.
Ekumen Labs has integrated NVIDIA Isaac Sim into its robotics development workflows, enabling high-fidelity simulations for testing and validation of real systems, as well as photorealistic synthetic data generation.
Intrinsic is integrating NVIDIA Isaac foundation models and Omniverse simulation tools into its Flowstate platform to enable advanced robot-grasping capabilities, real-time digital twin visualization and seamless AI-driven automation for industrial robotics.
KABAM Robotics’ Matrix robot uses NVIDIA Jetson Orin and NVIDIA Triton Inference Server on ROS 2 Jazzy for advanced security and facility management in complex outdoor environments.
At ROSCon, Open Navigation will showcase NVIDIA technologies, including NVIDIA Isaac Sim and NVIDIA SWAGGER, during a keynote by Open Navigation founder Steve Macenski titled, “On Use Of Nav2 Route” — demonstrating advanced route navigation for autonomous mobile robots.
Robotec.ai and NVIDIA are collaborating on a new ROS simulation standard, now integrated in Isaac Sim, to streamline cross-simulator development and enable more robust, automated testing for robotics.
ROBOTIS uses NVIDIA Jetson for on-board computing and Isaac Sim for simulation and validation. Its AI Worker, powered by the Isaac GR00T N1.5 model, delivers greater autonomy and scalable edge AI.
Stereolabs’ ZED cameras and ZED SKD deliver full compatibility with the NVIDIA Jetson Thor platform, supporting high-performance, multi-camera capture, low-latency perception and real-time spatial AI vision for general-purpose robotics.
From core contributions to powerful simulation tools and production-ready hardware, NVIDIA is committed to providing the open-source community with the platform needed to build the future of physical AI.
Learn more about the latest robotics advancements by joining NVIDIA at ROSCon.